Application of Artificial Intelligence in the Detection of Rotating Mechanical States

This article mainly introduces the application of artificial intelligence technology in the state detection of rotating machinery. Firstly, the causes of faults in rotating machinery, detection methods, and their shortcomings were discussed and analyzed, and the limitations and challenges of traditional methods were pointed out. Next, the advantages and applications of artificial intelligence technology in rotating machinery state detection were elaborated. Specifically, it includes research progress in multiple applications such as state detection methods based on machine learning and deep learning, fault diagnosis and health prediction of rotating machinery using artificial intelligence technology, and remote monitoring of rotating machinery using artificial intelligence technology. Finally, the paper summarizes and analyzes the application of artificial intelligence technology in rotating machinery status detection from four dimensions: performance, accuracy, efficiency, and cost. The results indicate that artificial intelligence technology can greatly improve the accuracy and efficiency of rotating machinery state detection, but there is still room for improvement and unresolved issues. These problems include data quality, data volume, Model selection, interpretability, cross domain cooperation, etc. Through the discussion in this article, the aim is to provide useful reference and inspiration for practitioners in the field of rotating machinery condition detection.